Reaxys resources and support

Factsheets

• Reaxys Predictive Retrosynthesis 새 탭/창에서 열기

• Reaxys patent expansion  새 탭/창에서 열기

• Reaxys for academic institutions 새 탭/창에서 열기

Webinars

Big data in chemistry webinars

• A universal approach to reaction informatics 새 탭/창에서 열기 Professor Lee Cronin, Center for Digital Chemistry, University of Glasgow

• Understanding the history of chemical space through big data 새 탭/창에서 열기 Professor Guillermo Restrepo, Leipzig University

• Reaction condition prediction using Reaxys: from raw data to best-in-class model 새 탭/창에서 열기 Asst Professor Timur Madzhidov, Organic and Medicinal Chemistry, Kazan Federal University

• Charting the chemical reaction space for DNA-encoded library design 새 탭/창에서 열기 Professor Andreas Brunschweiger, Chemistry and Chemical Biology, TU Dortmund

Reaxys Predictive Retrosynthesis webinars

• Reaxys Predictive Retrosynthesis — speed matters 새 탭/창에서 열기M Manish Uniyal, Drs. Mandar Bodas and Abhinav Kumar, Elsevier

• AI-enabled predictive retrosynthesis tool to advance drug discovery 새 탭/창에서 열기 Drs. Abhinav Kumar and Nilesh Rane, Elsevier

• Next generation synthesis planning using AI for chemists 새 탭/창에서 열기 Drs. Mandar Bodas, Abhinav Kumar and Juergen Swienty-Busch, Elsevier

Reaxys patents and patent expansion webinars

• Reaxys patent expansion: uncovering chemical compounds hidden in patents 새 탭/창에서 열기 Vinod Honmute, Head of KM, IP law and BI at Aarti Industries, Dr. Nilesh Rane, Elsevier

• Reaxys patent expansion 2021: an improved competitive intelligence 새 탭/창에서 열기 Jen Teske and Robert Niebergall, Elsevier